23 citations · 34 across the 18 of their papers we have counts for
19 papers
Generative AI Advertising as a Problem of Trustworthy Commercial Intervention
Jingyi Qiu, Qiaozhu Mei
Major deployed generative AI advertising systems preserve a visible boundary between commercial content and AI-generated responses. Yet empirical research shows that ads woven dire…
FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases
Xingjian Zhang, Sophia Moylan, Ziyang Xiong +3
Scientific knowledge bases accelerate discovery by curating findings from primary literature into structured, queryable formats for both human researchers and emerging AI systems.…
Through the Judge's Eyes: Inferred Thinking Traces Improve Reliability of LLM Raters
Xingjian Zhang, Tianhong Gao, Suliang Jin +4
Large language models (LLMs) are increasingly used as raters for evaluation tasks. However, their reliability is often limited for subjective tasks, when human judgments involve su…
Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering
Alireza Salemi, Cheng Li, Mingyang Zhang +7
Personalization is well studied in search and recommendation, but personalized question answering remains underexplored due to challenges in inferring preferences from long, noisy,…
Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs
Alan Zhu, Jiaqi Ma, Qiaozhu Mei
As large graph datasets become increasingly common across many fields, sampling is often needed to reduce the graphs into manageable sizes. This procedure raises critical questions…
Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation
Alireza Salemi, Cheng Li, Mingyang Zhang +6
Personalized text generation requires a unique ability of large language models (LLMs) to learn from context that they often do not encounter during their standard training. One wa…